The spatio-temporal characteristics of drought across Tibet, China: derived from meteorological and agricultural drought indexes

Li, Sisi; Yao, Zhijun; Liu, Zhaofei; Wang, Rui; Liu, Mingliang; Adam, J. C.

doi:10.1007/s00704-018-2733-9

Cited by 30 publications

(16 citation statements)

References 56 publications

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“…In comparison with previous studies on meteorological hazards, the hazard zone of droughts shows a similar pattern with existing works in the Tibet region [19,34]. Permanent arid zone is proposed for the first time in this paper to present the necessary conditions of meteorological droughts, which could provide reference for future research.…”

Section: Discussionsupporting

confidence: 76%

“…Climate projections indicate that snowstorms will continue to intensify with uncertainties and Sustainability 2021, 13, 10402 2 of 14 fluctuations throughout the decades to come [13,14]. Meteorological droughts directly affect the growth of plants, forests and crops in the QTP [15,16], causing decreased productivity and environmental degradation [17][18][19]. Rainstorms, as well as relevant geological hazards, pose a serious threat to human life, transportation and infrastructure, leading to serious casualties and traffic disruptions.…”

Section: Introductionmentioning

confidence: 99%

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Integrated Assessments of Meteorological Hazards across the Qinghai-Tibet Plateau of China

Sun

Zhang

Xu³

et al. 2021

Sustainability

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Recent decades have witnessed accelerated climate changes across the Qinghai-Tibet Plateau (QTP) and elevated socioeconomic exposure to meteorological hazards. The QTP is called the “the third pole”, exerting remarkable impact on environmental changes in its surrounding regions. While few reports are available for addressing multi-hazard risks over the QTP, we develop an integrated indicator system involving multiple meteorological hazards, i.e., droughts, rainstorms, snowstorms and hailstorms, investigating the spatiotemporal patterns of major hazards over the QTP. The hazard zones of droughts and rainstorms are identified in the southern Gangdise Mountains, the South Tibet Valley, the eastern Nyenchen-Tanglha Mountains, the Hengduan Mountains and West Sichuan Basin. Snowstorm hazard zones distribute in the Himalayas, the Bayan Har Mountains and the central Nyenchen-Tanglha Mountains, while hailstorm hazard zones cluster in central part of the QTP. Since the 21st century, intensified rainstorms are detectable in the densely populated cities of Xining and Lhasa and their adjacent areas, while amplified droughts are observed in grain production areas of the South Tibet Valley and the Hengduan Mountains. Snowstorm hazards show large interannual variations and an increase in pastoral areas, although the overall trend is declining slightly. The frequency of hailstorms gradually decreases in human settlements due to thermal and landscape effects. Mapping meteorological hazards regionalization could help to understand climate risks in the QTP, and provide scientific reference for human adaptation to climate changes in highly sensitive areas.

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Section: Discussionsupporting

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Integrated Assessments of Meteorological Hazards across the Qinghai-Tibet Plateau of China

Sun

Zhang

Xu³

et al. 2021

Sustainability

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“…A satisfactory correlation between SWI and SPI was also reported [16]. Li et al [11] analyzed and compared the meteorological and agricultural drought characteristics in Qinghai-Tibet Plateau by calculating Standardized Precipitation Evapotranspiration Index (SPEI) and Temperature Vegetation Dryness Index (TVDI) with the dry area data from 2001 to 2014 [17]. They reported a deterioration of drought situation in Qinghai-Tibet Plateau from 1971 to 2014, and an improved performance of SPEI over TVDI.…”

Section: Introductionmentioning

confidence: 92%

“…Although there were some previous studies which compared different types of drought [11,12], information on the propagation characteristics among different types of droughts are scarce [10,13]. Drought indicators are commonly used to identify the occurrence of a current drought event and its severity.…”

Section: Introductionmentioning

confidence: 99%

National-Scale Variation and Propagation Characteristics of Meteorological, Agricultural, and Hydrological Droughts in China

Yao

Zhao

et al. 2020

Remote Sensing

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The regional and national scales variation and propagation characteristics of different types of droughts are critical for improving drought resilience, while information is limited in China. The objective of this research was to investigate the evolution and propagation characteristics of three types of droughts using standardized indices at multi-timescales in different sub-regions of China. The indices included Standardized Precipitation/Soil Moisture/Runoff Index (SPI/SSI/SRI) using the optimal probability density function, representing meteorological, agricultural, and hydrological droughts based on precipitation, soil water storage, and baseflow-groundwater runoff, respectively. Wavelet analysis was used to reveal their periodical characteristics. Modified Mann-Kendall trend test was used to compare the trend among drought indices. Correlation coefficients between SPI and SSI/SRI were calculated to identify the time-lags of SPI with SSI and SRI. In general, droughts indicated by SPI agreed well with the historical drought events at different sub-regions. The main periods of SSI were closer to SPI than SRI, indicating stronger connections of agricultural drought with meteorological drought. A weaker connection between meteorological and agricultural/hydrological droughts at shorter timescales was observed in northwestern arid and semi-arid regions. The propagation from meteorological to agricultural or hydrological droughts were well denoted by the lagged time (months) from SPI to SSI or SRI at a timescale ranged from 0 (mostly located in south China) to 5 months (mostly located in northeastern China) for 1-, 3-, 6-, 12-, or 24-month timescale; this was a new finding for China. The methods of wavelet combining trend test and Pearson coefficient showed meaningful power for revealing the drought propagation characteristics and the obtained results can be a good reference for other regions of the world since this study compared different climate zones from arid to humid conditions. The study provides crucial information and guidance to develop drought management strategies at regional to national scale and their critical time of action.

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“…In particular, during the main crop growing season (from May to September), P was the only sensitive variable identified (the relative sensitivity coefficient ranges from 87.1% to 97.9%), with all the other meteorological variables contributing a negligible amount of sensitivity coefficient (<5%) (Figure 3). In Tibet, China, Li et al [62], using a multiple regression model, also reported that precipitation has the most significant influence on the variation of the SPEI. In addition, Zhang et al [33], using the self-calibrating Palmer Drought Severity Index, confirmed our findings, and concluded that the sensitivity of precipitation was higher than that of ET o .…”

Section: Discussionmentioning

confidence: 99%

Global Sensitivity Analysis of the Standardized Precipitation Evapotranspiration Index at Different Time Scales in Jilin Province, China

Chen

Chi

2020

Sustainability

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The Standardized Precipitation Evapotranspiration Index (SPEI) has been widely applied, due to its multi-scalar features and the ability to identify different drought types. However, its sensitivity to climatic variables still remains unclear, especially at different time scales. Therefore, this study investigates the sensitivity of SPEI to average temperature (Tmean), diurnal temperature ranges (Tdelta), relative humidity (RH), solar radiation (Rs), wind speed (U2), geothermal flux (G), and precipitation (P) from 1957 to 2017 using the extended Fourier Amplitude Sensitivity Test at different time scales in Jilin Province, China. Jilin Province experienced a significant rise in Tmean, and a sharp decrease in Tdelta, Rs, and U2. P is undoubtedly the most influential factor to the SPEI among the meteorological variables, which explained 59.9%–97.9% of the total variability, especially during the main crop growing season (from May to September). While Tmean, RH, or U2 observably affect the SPEI and cannot be neglected during the nongrowing season. In terms of spatial distribution, the SPEI was mainly affected by P in the eastern region, while it was also influenced by Tmean, RH, and U2 as well in the western region. The sensitivity of the SPEI differs in time scales: P > Tmean > RH > U2 > Rs > G > Tdelta (1 to 6 month), P > U2 > RH ≈ Tmean > G > Rs > Tdelta (7 to 18 month), and P > U2 > G > Tmean > RH > Rs > Tdelta (more than 24 month time scale), respectively. The results have the potential to provide a reference for agricultural production and management in Jilin Province, China.

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The spatio-temporal characteristics of drought across Tibet, China: derived from meteorological and agricultural drought indexes

Cited by 30 publications

References 56 publications

Integrated Assessments of Meteorological Hazards across the Qinghai-Tibet Plateau of China

Integrated Assessments of Meteorological Hazards across the Qinghai-Tibet Plateau of China

National-Scale Variation and Propagation Characteristics of Meteorological, Agricultural, and Hydrological Droughts in China

Global Sensitivity Analysis of the Standardized Precipitation Evapotranspiration Index at Different Time Scales in Jilin Province, China

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